Triple
T9217924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristanna Loken |
E221286
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | T-X |
E498094
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: T-X | Statement: [Kristanna Loken, playedCharacter, T-X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T-X Context triple: [Kristanna Loken, playedCharacter, T-X]
-
A.
T-X
chosen
The T-X is an advanced, shape-shifting Terminator model from the Terminator franchise, designed as a highly lethal, next-generation assassin android.
-
B.
T-X program
The T-X program is a U.S. Air Force initiative to develop and procure a next-generation advanced jet trainer aircraft to replace the aging T-38 Talon fleet.
-
C.
T-Ray
T-Ray is a powerful sorcerer and mercenary in Marvel Comics who serves as one of Deadpool’s most dangerous and obsessive arch-enemies.
-
D.
T-Rac
T-Rac is the raccoon-themed costumed mascot of the NFL’s Tennessee Titans, known for his energetic antics and fan engagement at games and events.
-
E.
Padirac Chasm
Padirac Chasm is a famous limestone sinkhole and underground cave system in southwestern France, renowned for its vast subterranean galleries and boat-accessible river.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda0ae3d081908ff3f5dab52df5ae |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0662427dc81908cb9bfacc5b9e0f5 |
completed | April 4, 2026, 1:15 a.m. |
Created at: March 30, 2026, 7:27 p.m.